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相关论文: Indoor Airflow Imaging Using Physics-Informed Back…

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We report a new workflow for background-oriented schlieren (BOS), termed "physics-informed BOS," to extract density, velocity, and pressure fields from a pair of reference and distorted images. Our method uses a physics-informed neural…

Non-intrusive quantitative fluid density measurements methods are essential in stratified flow experiments. Digital imaging leads to synthetic Schlieren methods in which the variations of the index of refraction are reconstructed…

流体动力学 · 物理学 2015-11-11 Lilly Verso , Alex Liberzon

The background-oriented schlieren (BOS) technique with the physics-based optical flow method (OF-BOS) is developed for measuring the pressure field of a laser-induced underwater shock wave. Compared to BOS with the conventional…

流体动力学 · 物理学 2016-12-21 Keisuke Hayasaka , Yoshiyuki Tagawa , Tianshu Liu , Masaharu Kameda

The background-oriented Schlieren technique has emerged as a promising method for visualizing density gradients and performing quantitative measurements. However, an inherent constraint of BOS is the compromise between spatial resolution…

流体动力学 · 物理学 2025-09-08 Xiang Li , Muen Gao , Weiran Wang , Jiawei Li , Chong Pan , Jinjun Wang , Yuan Xiong

We present an open-source background-oriented schlieren dataset with 70 views of high-speed flow over a flight body. Sample analyses are performed using a neural-implicit reconstruction technique (NIRT) with total variation regularization…

Background-oriented schlieren (BOS) is a powerful technique for flow visualization. Nevertheless, the widespread dissemination of BOS is impeded by its dependence on scientific cameras, computing hardware, and dedicated analysis software.…

人机交互 · 计算机科学 2025-07-14 Diganta Rabha , Vimod Kumar , Akshay Kumar , Dinesh Saini , Manish Kumar

We report a novel "cone-ray" model of background-oriented schlieren (BOS) imaging that accounts for depth-of-field effects. Reconstructions of the density field performed with this model are far more robust to the blur associated with a…

Diffractive optical element based background oriented schlieren (BOS) is a popular technique for quantitative flow visualization. This technique relies on encoding spatial density variations of the test medium in the form of an optical…

图像与视频处理 · 电气工程与系统科学 2025-10-01 Viren S. Ram , Tullio de Rubeis , Dario Ambrosini , Rajshekhar Gannavarpu

Quantitative measurements of fluid flow properties can be achieved by background oriented schlieren. In this paper it is shown that this depends on several factors. Image quality index is used to investigate the influence of the image…

光学 · 物理学 2013-03-06 Ardian B. Gojani , Shigeru Obayashi

Background oriented schlieren (BOS) visualization technique is examined by means of optical geometry. Two most important results are the calculation of the sensitivity and spatial resolution of a BOS system, which allows for the…

光学 · 物理学 2013-10-03 Ardian B. Gojani , Burim Kamishi , Shigeru Obayashi

A Tomographic Background-Oriented Schlieren (TBOS) technique is developed to aid in the visualization of compressible flows. An experimental setup was devised around a sub-scale rocket nozzle, in which four cameras were set up in a circular…

流体动力学 · 物理学 2023-11-20 Joachim A. Bron , Woutijn J. Baars , Ferdinand F. J. Schrijer

Tomographic background oriented schlieren (Tomo-BOS) imaging measures density or temperature fields in 3D using multiple camera BOS projections, and is particularly useful for instantaneous flow visualizations of complex fluid dynamics…

流体动力学 · 物理学 2021-04-07 Shengze Cai , Zhicheng Wang , Frederik Fuest , Young-Jin Jeon , Callum Gray , George Em Karniadakis

We build an ultra-high-speed imaging system based on the background-oriented schlieren (BOS) technique in order to capture a laser-induced underwater shock wave. This BOS technique is able to provide two-dimensional density-gradient field…

流体动力学 · 物理学 2015-03-20 Shota Yamamoto , Yoshiyuki Tagawa , Masaharu Kameda

Schlieren imaging is an optical technique to observe the flow of transparent media, such as air or water, without any particle seeding. However, conventional frame-based techniques require both high spatial and temporal resolution cameras,…

计算机视觉与模式识别 · 计算机科学 2024-03-05 Shintaro Shiba , Friedhelm Hamann , Yoshimitsu Aoki , Guillermo Gallego

This study aims to overcome the problems that existing background-oriented schlieren (BOS) techniques based on computed tomography (CT-BOS) face when measuring pressure fields of laser-induced underwater shock waves. To do this, it proposes…

流体动力学 · 物理学 2022-11-30 Sayaka Ichihara , Takaaki Shimazaki , Yoshiyuki Tagawa

Shock wave-droplet interactions have been receiving increasing attention due to their relevance in aviation fuel combustion and minimally invasive medical treatments, yet quantifying them experimentally remains a challenge. In this study,…

流体动力学 · 物理学 2026-03-24 Sayaka Ichihara , Samuele Fiorini , Yoshiyuki Tagawa , Outi Supponen

We report a new approach to flow field tomography that uses the Navier-Stokes and advection-diffusion equations to regularize reconstructions. Tomography is increasingly employed to infer 2D or 3D fluid flow and combustion structures from a…

流体动力学 · 物理学 2026-03-31 Joseph P. Molnar , Samuel J. Grauer

Background-oriented Schlieren tomography (BOST) is a prevalent method for visualizing intricate turbulent flows, valued for its ease of implementation and capacity to capture three-dimensional distributions of a multitude of flow…

流体动力学 · 物理学 2024-11-27 Yuanzhe He , Yutao Zheng , Shijie Xu , Chang Liu , Di Peng , Yingzheng Liu , Weiwei Cai

We propose a dot-tracking methodology for processing Background Oriented Schlieren (BOS) images. The method significantly improves the accuracy, precision and spatial resolution compared to conventional cross-correlation algorithms. Our…

流体动力学 · 物理学 2019-10-23 Lalit K. Rajendran , Sally P. M. Bane , Pavlos P. Vlachos

The paper introduces a method for studying flow dynamics using diffractive optical element based background-oriented schlieren (BOS). Our method relies on fringe demodulation using root multiple signal classification technique which…

图像与视频处理 · 电气工程与系统科学 2019-10-29 Jagadesh Ramaiah , Sreeprasad Ajithaprasad , Gannavarpu Rajshekhar , Dario Ambrosini
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